We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.

About the role:

As a Data Scientist, you will be one of Enova’s most valuable team members. You will develop, enhance and test the company’s models for use in determining the appropriate lending criteria and verification procedures. You will perform independent model validations to evaluate model fit for purpose, conceptual soundness, mathematical theory and assumptions, data/assumptions, and output reasonableness. At times, you may be asked to conduct ad hoc analysis using statistical and financial tools to recommend for risk management, marketing and operational strategies. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements and support implementation.

Responsibilities:

Perform model validation of credit risk models
Prepare model validation reports and write technical documentation
Assist analysts in validating and preparing their models for production
Interact with model stakeholders and business partners to gather information about credit models and risk acceptances
Support model releases to ensure they are quickly and accurately put into production
Monitor model performance dashboards, build alerts, and escalate concerns as appropriate
Support and improve automated model training processes by using data manipulation, and machine learning skills
Use your programming skills to develop and test programs for custom tool development

Requirements:

Experience in developing advanced credit risk models
3+ years of experience in quantitative analysis in the financial services industry is preferred but not required
Knowledge of statistical models in risk management
Advanced programming skills in Python and the ability to write customized programs for meaningful data analysis
Experience working with relational databases, such as SQL

Compensation:

The budgeted annual salary range for this position is $87,000 to $110,000. Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.

Benefits & Perks:

Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results.
Health, dental, and vision insurance including mental health benefits
401(k) matching plus a roth option (U.S. Based employees only)
PTO & paid holidays off
Sabbatical program (for eligible roles)
Summer hours (for eligible roles)
Paid parental leave
DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)
Employee recognition and rewards program
Charitable matching and a paid volunteer day…Plus so much more!

About Enova

Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions.

Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova’s values and culture here.

It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.